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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# How to Generate Synthetic Data for a Financial Report Using LlamaIndex\n",
        "\n",
        "✅ Generating synthetic data can be a game-changer in financial analysis, and with LlamaIndex, it's both efficient and cost-effective. Here's how you can leverage an LLM to create valuable insights without the need for manual labeling.\n",
        "\n",
        "✅ The Core Idea: Use a Large Language Model (LLM) to generate hypothetical questions that align perfectly with specific pieces of context. This approach allows for the scalable creation of synthetic pairs of (query, relevant documents) without relying on human intervention."
      ],
      "metadata": {
        "id": "gAkrdMdGm1BD"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "[Hanane D](https://www.linkedin.com/in/hanane-d-algo-trader)"
      ],
      "metadata": {
        "id": "oXddqGPcndXa"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Install Lib"
      ],
      "metadata": {
        "id": "kHAcXto4jzad"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install llama-index -q"
      ],
      "metadata": {
        "id": "cFvnh0knjptb"
      },
      "execution_count": 61,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Load pdf"
      ],
      "metadata": {
        "id": "A8_qokpvjXkl"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 62,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "6EOUInIGjDg3",
        "outputId": "e56cbf8d-731a-41f8-810e-4f6e213aaf0e"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-08-29 11:03:20--  https://d18rn0p25nwr6d.cloudfront.net/CIK-0001018724/c7c14359-36fa-40c3-b3ca-5bf7f3fa0b96.pdf\n",
            "Resolving d18rn0p25nwr6d.cloudfront.net (d18rn0p25nwr6d.cloudfront.net)... 3.161.141.53, 3.161.141.55, 3.161.141.72, ...\n",
            "Connecting to d18rn0p25nwr6d.cloudfront.net (d18rn0p25nwr6d.cloudfront.net)|3.161.141.53|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 800598 (782K) [application/pdf]\n",
            "Saving to: ‘amzn_2023_10k.pdf’\n",
            "\n",
            "amzn_2023_10k.pdf   100%[===================>] 781.83K  --.-KB/s    in 0.08s   \n",
            "\n",
            "2024-08-29 11:03:20 (9.79 MB/s) - ‘amzn_2023_10k.pdf’ saved [800598/800598]\n",
            "\n"
          ]
        }
      ],
      "source": [
        "!wget \"https://d18rn0p25nwr6d.cloudfront.net/CIK-0001018724/c7c14359-36fa-40c3-b3ca-5bf7f3fa0b96.pdf\" -O amzn_2023_10k.pdf"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Chunk PDF"
      ],
      "metadata": {
        "id": "VzpEzFZ8j5CU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import json\n",
        "\n",
        "from llama_index.core import SimpleDirectoryReader\n",
        "from llama_index.core.node_parser import SimpleNodeParser\n",
        "# from llama_index.core.schema import MetadataMode"
      ],
      "metadata": {
        "id": "REHUluR8jnQj"
      },
      "execution_count": 63,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "files = ['amzn_2023_10k.pdf']\n",
        "loader = SimpleDirectoryReader(input_files=files)\n",
        "documents = loader.load_data()\n",
        "print(f\"len of documents {len(documents)}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "iCckyDimkNTc",
        "outputId": "72e6a8d4-e744-4e52-80c7-bf9e76272d57"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "len of documents 94\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "parser = SimpleNodeParser.from_defaults()\n",
        "nodes = parser.get_nodes_from_documents(documents, show_progress=True)\n",
        "print(f\"len of nodes {len(nodes)}\")\n",
        "corpus = {node.node_id: node.get_content() for node in nodes}"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 66,
          "referenced_widgets": [
            "025e7c73e16c4d3db57d69cc7c38ec0d",
            "f8b7e8055e4b45bcbdf75bd520d83468",
            "025e6c962c2340908d0679afba0f2059",
            "a6596759bfc64068b00231e6f1fc0fed",
            "aa637e34ecdc4e64968dbcc80c521f13",
            "09e5bead9ea54d73b52f1be02646fd13",
            "a8630ad463e44bac99d9948ec6ae2d05",
            "45f0970db5fc49979cfb133220dc4feb",
            "dbebd1eb9a654346bdb9a8df4b76b1ad",
            "c1e63a23b3c44278a68f3287c83ea84b",
            "fedb190788b9418b882fd131fc109b07"
          ]
        },
        "id": "7VeLJRH-kJO8",
        "outputId": "725b33d1-15a8-4106-8b95-717e7184b919"
      },
      "execution_count": 66,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Parsing nodes:   0%|          | 0/94 [00:00<?, ?it/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "025e7c73e16c4d3db57d69cc7c38ec0d"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "len of nodes 118\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import re\n",
        "import uuid\n",
        "\n",
        "from llama_index.llms.openai import OpenAI\n",
        "from tqdm.notebook import tqdm"
      ],
      "metadata": {
        "id": "61YyU4mNl9fS"
      },
      "execution_count": 67,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import nest_asyncio\n",
        "nest_asyncio.apply()\n",
        "\n",
        "from google.colab import userdata\n",
        "OPENAI_API_KEY = userdata.get('OPENAI_API_KEY')"
      ],
      "metadata": {
        "id": "7cCY4c-rpmIq"
      },
      "execution_count": 68,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Design a specific prompt to request LLM to generate questions:"
      ],
      "metadata": {
        "id": "ucAgcJmkkDyU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "prompt_template = \"\"\"\\\n",
        "    Context information is below.\n",
        "\n",
        "    ---------------------\n",
        "    {context_str}\n",
        "    ---------------------\n",
        "\n",
        "    Given the context information and not prior knowledge.\n",
        "    generate only questions based on the below query.\n",
        "\n",
        "    You are a financial analyst.\n",
        "    Your task is to setup {num_questions_per_chunk} questions for a 10K financial report.\n",
        "    The questions should be diverse in nature across the document.\n",
        "    The questions should contain key concepts and metrics in a financial report.\n",
        "    Some of the questions should contain numbers, quarters and years to reflect the nature of a financial report.\n",
        "    Restrict the questions to the context information provided.\"\n",
        "    \"\"\""
      ],
      "metadata": {
        "id": "sUoF4taooPF7"
      },
      "execution_count": 69,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Generate Hypothetical Questions"
      ],
      "metadata": {
        "id": "xJSt3MYBkLB8"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "%%time\n",
        "num_questions_per_chunk = 3\n",
        "llm = OpenAI(model='gpt-4o-mini', api_key = OPENAI_API_KEY)\n",
        "queries = {}\n",
        "relevant_context = {}\n",
        "\n",
        "#Code from LlamaIndex blog: https://www.llamaindex.ai/blog/fine-tuning-embeddings-for-rag-with-synthetic-data-e534409a3971\n",
        "for node_id, text in tqdm(corpus.items()):\n",
        "  query = prompt_template.format(context_str=text, num_questions_per_chunk=num_questions_per_chunk)\n",
        "  response = llm.complete(query)\n",
        "  result = str(response).strip().split(\"\\n\")\n",
        "  questions = [\n",
        "            re.sub(r\"^\\d+[\\).\\s]\", \"\", question).strip() for question in result\n",
        "        ]\n",
        "  questions = [question for question in questions if len(question) > 0]\n",
        "  print(questions)\n",
        "  for question in questions:\n",
        "    question_id = str(uuid.uuid4())\n",
        "    queries[question_id] = question\n",
        "    relevant_context[question_id] = [node_id]"
      ],
      "metadata": {
        "id": "EbeDh5B2nySj"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Examples of questions:\n",
        "['What was the total revenue reported by Amazon.com, Inc. for the fiscal year ended December 31, 2023, and how does this figure compare to the previous fiscal year?', \"Can you provide details on the company's net income or loss for the fourth quarter of 2023, and what factors contributed to this financial outcome?\", 'What is the significance of Amazon.com, Inc. being classified as a large accelerated filer, and how does this classification impact its reporting requirements under the Securities Exchange Act of 1934?']\n",
        "['What is the aggregate market value of voting stock held by non-affiliates of the registrant as of June 30, 2023, and how does this figure compare to the previous fiscal year?', \"As of January 24, 2024, how many shares of common stock are outstanding, and what implications might this have for the company's earnings per share (EPS) calculation?\", \"Does the registrant's financial statements reflect any corrections of errors to previously issued financial statements, and if so, were any of these corrections classified as restatements requiring a recovery analysis of incentive-based compensation for executive officers?\"]\n",
        "['What were the key financial metrics reported in Item 7, Management’s Discussion and Analysis of Financial Condition and Results of Operations, for the fiscal year ended December 31, 2023, and how do they compare to the previous fiscal year?', \"In Item 1A, Risk Factors, what are the top three risks identified that could potentially impact Amazon.com, Inc.'s financial performance in 2024, and how might these risks affect revenue projections?\", \"According to Item 8, Financial Statements and Supplementary Data, what was the total revenue reported for the fourth quarter of 2023, and how does this figure align with the company's overall annual revenue for the fiscal year?\"]\n",
        "['What were the net sales figures for Amazon.com, Inc. in the North America and International segments for the fiscal year ended December 31, 2022, as detailed in Item 8 of Part II, “Financial Statements and Supplementary Data — Note 10 — Segment Information”?', 'How does Amazon.com, Inc. measure its operational excellence in relation to customer service, and what specific metrics or performance indicators are used to evaluate this aspect in the Annual Report?', 'In the context of Amazon Web Services (AWS), what percentage of total revenue did AWS contribute in the most recent quarter reported, and how does this compare to the same quarter in the previous year?']\n",
        "['What were the sales volume trends observed during the fourth quarter of 2023, and how did they compare to previous years in terms of percentage growth or decline?', \"As of December 31, 2023, what is the total number of full-time and part-time employees, and how does this figure reflect the company's investment in human capital compared to the previous year?\", \"How does the competitive landscape, including the presence of companies with greater resources and brand recognition, impact the company's pricing strategy and overall revenue generation in the fiscal year 2023?\"]\n",
        "['What percentage of Amazon employees globally have participated in the Career Choice program, and how does this investment in employee education funding impact overall employee retention rates in the last fiscal year?', 'How much has Amazon invested in safety improvements, including capital improvements and new safety technology, over the past three years, and what measurable impact has this had on workplace incident rates during that period?', 'In the most recent quarter, what were the competitive pay and benefits expenses as a percentage of total operating expenses, and how do these figures compare to the previous quarter and the same quarter last year?']\n",
        "['What were the total revenues reported by Amazon for the fiscal year ending December 31, 2023, and how does this figure compare to the total revenues for the previous fiscal year?', \"Can you provide the operating income for Amazon's Worldwide Amazon Stores segment for the second quarter of 2023, and how does it reflect on the overall profitability of the company?\", 'What is the current ratio of Amazon as of January 24, 2024, and how does this liquidity metric compare to the ratio reported in the previous fiscal year?']\n",
        "['What specific competitive metrics or market share percentages does the company report for its e-commerce and cloud computing segments for the fiscal year ending 2023, and how do these figures compare to the previous fiscal year?', \"In the context of the company's expansion into new products and services, what were the total capital expenditures allocated for these initiatives in the last quarter of 2023, and how do these expenditures align with the company's overall investment strategy?\", \"How has the company's operating income been affected by increased competition and pricing pressures in the retail sector during the first half of 2023, and what specific financial ratios can be used to assess this impact?\"]\n"
      ],
      "metadata": {
        "id": "HmfzQsK4mpv7"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Examples"
      ],
      "metadata": {
        "id": "R1hDRNbGbTDi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "questions"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jAaWHsNjrCLJ",
        "outputId": "e80e4400-1c8d-4340-c087-25855c9ebd75"
      },
      "execution_count": 71,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['What specific criteria must be met for the Company to initiate a clawback of Incentive-Based Compensation received by an Executive Officer, and how does this relate to the financial reporting requirements under federal securities laws?',\n",
              " 'In the event of a financial restatement, what is the time frame for recovering Incentive-Based Compensation received by an Executive Officer, and how is the amount determined based on the restated financial statements?',\n",
              " 'If a Chief Executive Officer or Chief Financial Officer is found to have engaged in fraud that necessitates a restatement, what specific types of compensation and equity awards are subject to recovery, and what is the time period during which these awards must have been settled or granted?']"
            ]
          },
          "metadata": {},
          "execution_count": 71
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# All together"
      ],
      "metadata": {
        "id": "c8jtpDSk9m7M"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def synthetic_data_generation(\n",
        "    corpus,\n",
        "    num_questions_per_chunk=3,\n",
        "    prompt_template=None,\n",
        "):\n",
        "    \"\"\"\n",
        "    Automatically generate hypothetical questions that could be answered with\n",
        "    doc in the corpus.\n",
        "    \"\"\"\n",
        "    llm = OpenAI(model='gpt-4o-mini')\n",
        "\n",
        "    prompt_template = prompt_template or \"\"\"\\\n",
        "    Context information is below.\n",
        "\n",
        "    ---------------------\n",
        "    {context_str}\n",
        "    ---------------------\n",
        "\n",
        "    Given the context information and not prior knowledge.\n",
        "    generate only questions based on the below query.\n",
        "\n",
        "    You are a financial analyst.\n",
        "    Your task is to setup {num_questions_per_chunk} questions for a 10K financial report.\n",
        "    The questions should be diverse in nature across the document.\n",
        "    The questions should contain key concepts and metrics in a financial report.\n",
        "    Some of the questions should contain numbers, quarters and years to reflect the nature of a financial report.\n",
        "    Restrict the questions to the context information provided.\"\n",
        "    \"\"\"\n",
        "\n",
        "    llm = OpenAI(model='gpt-4o-mini', api_key = OPENAI_API_KEY)\n",
        "    queries = {}\n",
        "    relevant_context = {}\n",
        "\n",
        "    #Code from LlamaIndex blog: https://www.llamaindex.ai/blog/fine-tuning-embeddings-for-rag-with-synthetic-data-e534409a3971\n",
        "    for node_id, text in tqdm(corpus.items()):\n",
        "      query = prompt_template.format(context_str=text, num_questions_per_chunk=num_questions_per_chunk)\n",
        "      response = llm.complete(query)\n",
        "      result = str(response).strip().split(\"\\n\")\n",
        "      questions = [\n",
        "                re.sub(r\"^\\d+[\\).\\s]\", \"\", question).strip() for question in result\n",
        "            ]\n",
        "      questions = [question for question in questions if len(question) > 0]\n",
        "      print(questions)\n",
        "      for question in questions:\n",
        "        question_id = str(uuid.uuid4())\n",
        "        queries[question_id] = question\n",
        "        relevant_context[question_id] = [node_id]\n",
        "    return queries, relevant_context"
      ],
      "metadata": {
        "id": "vQwGyLv59pfJ"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}